Video-Mirai: Autoregressive Video Diffusion Models Need Foresight 事件

Video-Mirai: Autoregressive Video Diffusion Models Need Foresight arXiv:2606.03971v1 Announce Type: new Abstract: Causal video generators must predict from the past, but they need not learn only from it. In streaming autoregressive video diffusion, each emitted segment becomes a commitment that future segments must preserve. Standard training, however, only asks each causal state to explain the present. This creates what we call a representation-level planning gap: states that fit the current s